| Joint face detection and alignment using multitask cascaded convolutional networks K Zhang, Z Zhang, Z Li, Y Qiao IEEE signal processing letters 23 (10), 1499-1503, 2016 | 6881 | 2016 |
| A discriminative feature learning approach for deep face recognition Y Wen, K Zhang, Z Li, Y Qiao Computer vision–ECCV 2016: 14th European conference, amsterdam, the …, 2016 | 4753 | 2016 |
| Omniquant: Omnidirectionally calibrated quantization for large language models W Shao, M Chen, Z Zhang, P Xu, L Zhao, Z Li, K Zhang, P Gao, Y Qiao, ... arXiv preprint arXiv:2308.13137, 2023 | 203 | 2023 |
| Lvlm-ehub: A comprehensive evaluation benchmark for large vision-language models P Xu, W Shao, K Zhang, P Gao, S Liu, M Lei, F Meng, S Huang, Y Qiao, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 183 | 2024 |
| Super-identity convolutional neural network for face hallucination K Zhang, Z Zhang, CW Cheng, WH Hsu, Y Qiao, W Liu, T Zhang Proceedings of the European conference on computer vision (ECCV), 183-198, 2018 | 159 | 2018 |
| Meta-transformer: A unified framework for multimodal learning Y Zhang, K Gong, K Zhang, H Li, Y Qiao, W Ouyang, X Yue arXiv preprint arXiv:2307.10802, 2023 | 140 | 2023 |
| Imagebind-llm: Multi-modality instruction tuning J Han, R Zhang, W Shao, P Gao, P Xu, H Xiao, K Zhang, C Liu, S Wen, ... arXiv preprint arXiv:2309.03905, 2023 | 115 | 2023 |
| Onellm: One framework to align all modalities with language J Han, K Gong, Y Zhang, J Wang, K Zhang, D Lin, Y Qiao, P Gao, X Yue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 105 | 2024 |
| Detecting Faces Using Inside Cascaded Contextual CNN K Zhang, Z Zhang, H Wang, Z Li, Y Qiao, W Liu Proceedings of the IEEE International Conference on Computer Vision, 3171-3179, 2017 | 103 | 2017 |
| Group emotion recognition with individual facial emotion CNNs and global image based CNNs L Tan, K Zhang, K Wang, X Zeng, X Peng, Y Qiao Proceedings of the 19th ACM international conference on multimodal …, 2017 | 102 | 2017 |
| Sphinx-x: Scaling data and parameters for a family of multi-modal large language models D Liu, R Zhang, L Qiu, S Huang, W Lin, S Zhao, S Geng, Z Lin, P Jin, ... arXiv preprint arXiv:2402.05935, 2024 | 101 | 2024 |
| A comprehensive study on center loss for deep face recognition Y Wen, K Zhang, Z Li, Y Qiao International Journal of Computer Vision 127, 668-683, 2019 | 97 | 2019 |
| Gender and smile classification using deep convolutional neural networks K Zhang, L Tan, Z Li, Y Qiao Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 95 | 2016 |
| Towards lossless dataset distillation via difficulty-aligned trajectory matching Z Guo, K Wang, G Cazenavette, H Li, K Zhang, Y You arXiv preprint arXiv:2310.05773, 2023 | 78 | 2023 |
| Mmt-bench: A comprehensive multimodal benchmark for evaluating large vision-language models towards multitask agi K Ying, F Meng, J Wang, Z Li, H Lin, Y Yang, H Zhang, W Zhang, Y Lin, ... arXiv preprint arXiv:2404.16006, 2024 | 61 | 2024 |
| Cascade attention networks for group emotion recognition with face, body and image cues K Wang, X Zeng, J Yang, D Meng, K Zhang, X Peng, Y Qiao Proceedings of the 20th ACM international conference on multimodal …, 2018 | 53 | 2018 |
| Chartassisstant: A universal chart multimodal language model via chart-to-table pre-training and multitask instruction tuning F Meng, W Shao, Q Lu, P Gao, K Zhang, Y Qiao, P Luo arXiv preprint arXiv:2401.02384, 2024 | 47 | 2024 |
| Diffrate: Differentiable compression rate for efficient vision transformers M Chen, W Shao, P Xu, M Lin, K Zhang, F Chao, R Ji, Y Qiao, P Luo Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 47 | 2023 |
| Attribute augmented convolutional neural network for face hallucination CH Lee, K Zhang, HC Lee, CW Cheng, W Hsu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 35 | 2018 |
| Tiny lvlm-ehub: Early multimodal experiments with bard W Shao, Y Hu, P Gao, M Lei, K Zhang, F Meng, P Xu, S Huang, H Li, ... arXiv e-prints, arXiv: 2308.03729, 2023 | 34 | 2023 |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CASPreverjeni e-poštni naslov na siat.ac.cn
